Alternatives and similar repositories for EMU:

Users that are interested in EMU are comparing it to the libraries listed below

• aailabkaist / SAAL
  Official PyTorch implementation For Sharpness-Aware Active Learning [ICML 2023]
  ☆11Updated 8 months ago
• aailabkaist / TIW-DSM
  About Official PyTorch implementation for Training Unbiased Diffusion Models From Biased Dataset in ICLR 2024.
  ☆10Updated 8 months ago
• Multimodal-Commonsense-and-Task / Multimodal-Graph-Representation
  ☆10Updated last month
• Multimodal-Commonsense-and-Task / CommonSense-Robots
  ☆10Updated last month
• aailabkaist / DG
  Official repo for Discriminator Guidance.
  ☆12Updated 8 months ago
• Multimodal-Commonsense-and-Task / CommonSense-Tasks
  ☆11Updated last month
• aailabkaist / UDIM
  ☆11Updated 8 months ago
• Multimodal-Commonsense-and-Task / Multimodal-Representation
  ☆13Updated 2 months ago
• aailabkaist / UADAL
  Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation (UADAL) [NeurIPS 2022]
  ☆11Updated 8 months ago
• Multimodal-Commonsense-and-Task / Knowledge-Base-and-NLP
  ☆13Updated last month
• youngjae-cho / APP
  Official PyTorch implementation for Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Pri…
  ☆15Updated 8 months ago
• aailabkaist / DiffRS
  Official PyTorch implementation for Diffusion Rejection Sampling (DiffRS) in ICML 2024.
  ☆19Updated 2 months ago
• aailabkaist / LAGMA
  (Official) PyTorch implementation for LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning (ICML 2024)
  ☆19Updated 7 months ago
• byeonghu-na / tdsm
  Official PyTorch implementation for Label-Noise Robust Diffusion Models (TDSM) in ICLR 2024.
  ☆12Updated 8 months ago
• sdh0818 / FreD
  Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]
  ☆29Updated 8 months ago
• byeonghu-na / INDM
  Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.
  ☆41Updated 8 months ago
• BaeHeeSun / NPC
  ☆25Updated 8 months ago
• dojeon-ai / PLASTIC
  Code for the paper "PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning" (NeurIPS 2023)
  ☆16Updated last year
• SJShin-AI / LCMat
  Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)
  ☆21Updated last year
• minnesotanlp / infoVerse
  Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-informat…
  ☆16Updated last year
• sjchoi86 / yet-another-pytorch-tutorial
  Yet Another PyTorch Tutorial
  ☆11Updated 4 years ago
• aailabkaist / Introduction-to-Artificial-Intelligence-Machine-Learning
  Apache 2.0 License
  ☆149Updated 5 years ago
• alsdudrla10 / DG_imagenet
  Official repo for Discriminator Guidance for ImageNet256.
  ☆14Updated last year
• KU-LIM-Lab / hdm-official
  Official code release of Hilbert Diffusion Model (PyTorch ver.)
  ☆10Updated 5 months ago
• pasus / Reinforcement-Learning-Book
  ☆32Updated 3 years ago
• Junyoungpark / GNNAtoZ
  ☆37Updated last year
• sjchoi86 / yet-another-gpt-tutorial
  ☆41Updated last year
• jaeho-lee / oce
  Codes for "Learning bounds for risk-sensitive learning," NeurIPS 2020 (or see arXiv 2006.08138)
  ☆11Updated 4 years ago
• pasus / Reinforcement-Learning-Book-Revision
  ☆26Updated last year
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆27Updated 5 months ago